Distributed reinforcement learning for flexible UAV swarm control with transfer learning capabilities. - Federico Venturini; Federico Mason; Francesco Pase; Federico Chiariotti; Alberto Testolin; Andrea Zanella; Michele Zorzi (DroNet@MobiSys, 2020)

Bike Sharing and Urban Mobility in a Post-Pandemic World. - Francesco Pase; Federico Chiariotti; Andrea Zanella; Michele Zorzi (IEEE Access, 2020)

On the Convergence Time of Federated Learning Over Wireless Networks Under Imperfect CSI. - Francesco Pase; Marco Giordani; Michele Zorzi (ICC Workshops, 2021)

Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control. - Federico Venturini; Federico Mason; Francesco Pase; Federico Chiariotti; Alberto Testolin; Andrea Zanella; Michele Zorzi (IEEE Trans. Cogn. Commun. Netw., 2021)

Enabling URLLC in 5G NR IIoT Networks: A Full-Stack End-to-End Analysis. - Giampaolo Cuozzo; Sara Cavallero; Francesco Pase; Marco Giordani; Joseph Eichinger; Chiara Buratti; Roberto Verdone; Michele Zorzi (EuCNC, 2022)

Distributed Resource Allocation for URLLC in IIoT Scenarios: A Multi-Armed Bandit Approach. - Francesco Pase; Marco Giordani; Giampaolo Cuozzo; Sara Cavallero; Joseph Eichinger; Roberto Verdone; Michele Zorzi (GLOBECOM (Workshops), 2022)

Remote Contextual Bandits. - Francesco Pase; Deniz Gündüz; Michele Zorzi (ISIT, 2022)

Rate-Constrained Remote Contextual Bandits. - Francesco Pase; Deniz Gündüz; Michele Zorzi (IEEE J. Sel. Areas Inf. Theory, 2022)

A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations. - Sara Cavallero; Nicole Sarcone Grande; Francesco Pase; Marco Giordani; Joseph Eichinger; Roberto Verdone; Michele Zorzi (ICC, 2023)

Sparse Random Networks for Communication-Efficient Federated Learning. - Berivan Isik; Francesco Pase; Deniz Gündüz; Tsachy Weissman; Michele Zorzi (ICLR, 2023)

Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression. - Pietro Talli; Francesco Pase; Federico Chiariotti; Andrea Zanella; Michele Zorzi (INFOCOM Workshops, 2023)

Semantic Communication of Learnable Concepts. - Francesco Pase; Szymon Kobus; Deniz Gündüz; Michele Zorzi (ISIT, 2023)

Communication-Efficient Federated Learning through Importance Sampling. - Berivan Isik; Francesco Pase; Deniz Gündüz; Sanmi Koyejo; Tsachy Weissman; Michele Zorzi (CoRR, 2023)

Adaptive Compression in Federated Learning via Side Information. - Berivan Isik; Francesco Pase; Deniz Gündüz; Sanmi Koyejo; Tsachy Weissman; Michele Zorzi (AISTATS, 2024)

A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT. - Francesco Pase; Marco Giordani; Sara Cavallero; Malte Schellmann; Josef Eichinger; Roberto Verdone; Michele Zorzi (CoRR, 2024)

Effective Communication With Dynamic Feature Compression. - Pietro Talli; Francesco Pase; Federico Chiariotti; Andrea Zanella; Michele Zorzi (IEEE Trans. Commun., 2024)

Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation. - Mattia Scarpa; Francesco Pase; Ruggero Carli; Mattia Bruschetta; Francesco Toso (CoRR, 2025)